Senior Power AI Engineer for Energy-Efficient Architectures

NVIDIA Corporation; Santa Clara (CA); On-site; USD 136,000 - 265,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Senior Power Architecture & Optimization Engineer to push energy efficiency using AI-driven analytics, including LLMs trained for power analysis. You will model, analyze, and optimize energy usage across full‑chip and unit designs, collaborating with cross‑functional teams and scaling power anomaly detection with AI.

Qualifications include an MS with 5+ years or a PhD with 3+ years in EE/CE/CS, strong Verilog and ASIC knowledge, and programming skills in

Qualifications

• Must have MS (or equivalent) and 5+ years experience or PhD with 3+ years in EE/CE/CS or related fields.
• Strong understanding of energy consumption, power estimation, data movement, and low-power design.
• Hands-on with Verilog and ASIC design principles; experience with relevant power-tools.

Responsibilities

• Analyze full-chip and unit-level power using RTL and gate-level tools and translate data into design improvements.
• Develop production-ready power-aware models and flows with ML/RL techniques.
• Design and train LLMs to assist engineers in interpreting power data and suggesting optimizations.

Skills

Power analysis

Verilog

Python

Perl

C++

Machine learning

Reinforcement learning

Data analytics

LLMs

EDA

Education

MS or equivalent

PhD + 3 yrs

Tools

PowerArtist

PrimePower/PrimePower RTL

RTL Architect

Job description

NVIDIA Corporation seeks a Senior Power Architecture & Optimization Engineer to push energy efficiency using AI-driven analytics, including LLMs trained for power analysis. You will model, analyze, and optimize energy usage across full‑chip and unit designs, collaborating with cross‑functional teams and scaling power anomaly detection with AI.

Qualifications include an MS with 5+ years or a PhD with 3+ years in EE/CE/CS, strong Verilog and ASIC knowledge, and programming skills in